mian-zhi

mian-zhi's Stars

• chengxuxin/expressive-humanoid

  [RSS 2024]: Expressive Whole-Body Control for Humanoid Robots

  Language:Python32226

• LeCAR-Lab/HumanoidVerse

  Language:Python1958

• facebookresearch/jepa

  PyTorch code and models for V-JEPA self-supervised learning from video.

  Language:Python2.9k280

• isaac-sim/IsaacLab

  Unified framework for robot learning built on NVIDIA Isaac Sim

  Language:Python3.2k1.5k

• leggedrobotics/legged_gym

  Isaac Gym Environments for Legged Robots

  Language:Python1.8k437

• leggedrobotics/rsl_rl

  Fast and simple implementation of RL algorithms, designed to run fully on GPU.

  Language:Python1.1k264

• NVlabs/SegFormer

  Official PyTorch implementation of SegFormer

  Language:Python2.8k378

• LeCAR-Lab/ASAP

  Official implementation of "ASAP: Aligning Simulation and Real-World Physics for Learning Agile Humanoid Whole-Body Skills"

  Language:Python82181

• luigifreda/pyslam

  pySLAM is a visual SLAM pipeline in Python for monocular, stereo and RGBD cameras. It supports many modern local and global features, different loop-closing methods, a volumetric reconstruction pipeline, and depth prediction models.

  Language:Python2.3k393

• colmap/colmap

  COLMAP - Structure-from-Motion and Multi-View Stereo

  Language:C++8.4k1.6k

• GimpelZhang/GaussianRPG

  3D Gaussian Rendering PlayGround: an open-source autonomous driving closed-loop simulator demo using 3D Gaussian Splatting tech

  Language:Python13918

• WU-CVGL/Omni-Scene

  [CVPR2025] Omni-Scene: Omni-Gaussian Representation for Ego-Centric Sparse-View Scene Reconstruction

  Language:Python1236

• WU-CVGL/IncEventGS

  [CVPR 2025]: IncEventGS: Pose-Free Gaussian Splatting from a Single Event Camera

  Language:Python49

• TianxingChen/Embodied-AI-Guide

  具身智能入门指南 Embodied-AI-Guide

  3.7k220

• sihengz02/UH-1

  Code for the paper "Learning from Massive Human Videos for Universal Humanoid Pose Control"

  Language:Python1019

• WU-CVGL/DreamMesh4D

  [NeurIPS 2024] "DreamMesh4D: Video-to-4D Generation with Sparse-Controlled Gaussian-Mesh Hybrid Representation"

  Language:Python914

• wenbin-lin/OcclusionFusion

  OcclusionFusion: realtime dynamic 3D reconstruction based on single-view RGB-D

  Language:Python26542

• dolphin-li/DynamicFusion

  An implementation of the CVPR best paper Dynamic Fusion

  Language:C++10441

• koide3/fast_gicp

  A collection of GICP-based fast point cloud registration algorithms

  Language:C++1.4k322

• JiahuiLei/MoSca

  Language:Python24810

• facebookresearch/co-tracker

  CoTracker is a model for tracking any point (pixel) on a video.

  Language:Jupyter Notebook4.2k286

• juno181/Ex4DGS

  Official code of "Fully Explicit Dynamic Gaussian Splatting (NeurIPS 2024)"

  Language:Python1036

• baegwangbin/DSINE

  [CVPR 2024 Oral] Rethinking Inductive Biases for Surface Normal Estimation

  Language:Jupyter Notebook77532

• HLinChen/VCR-GauS

  [NeurIPS 2024] VCR-GauS: View Consistent Depth-Normal Regularizer for Gaussian Surface Reconstruction

  Language:Python1496

• WU-CVGL/cluster-user-guide

  Language:Dockerfile6

• uoip/g2opy

  Python binding of SLAM graph optimization framework g2o

  Language:C++695180

• DelinQu/EN-SLAM

  The implementation and dataset of CVPR 2024 paper: Implicit Event Neural SLAM.

  35

• MisEty/RTG-SLAM

  RTG-SLAM: Real-time 3D Reconstruction at Scale Using Gaussian Splatting (ACM SIGGRAPH 2024)

  Language:Python36842

• Lab-of-AI-and-Robotics/fast_gicp

  Language:Jupyter Notebook102

• WU-CVGL/BeNeRF

  [ECCV 2024] "BeNeRF: Neural Radiance Fields from a Single Blurry Image and Event Stream"

  Language:Python502